| 000 | 03170nam a22003377a 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20260316153552.0 | ||
| 008 | 260316b |||||||| |||| 00| 0 eng d | ||
| 040 |
_aTUPM _bEnglish _cTUPM _dTUPM _erda |
||
| 050 |
_aBTH TK 870 _bG37 2023 |
||
| 100 |
_aGARDUCE JR., RAUL P. _eAuthor |
||
| 245 |
_aDevelopment of restroom maintenance system/ _cRaul P. Garduce Jr., Mary Rose R. Hornilla, Rosario C. Mateo, Remiel D. Nafarrete, and Mitchelle C. Reglos.-- |
||
| 260 |
_aMANILA _bTECHNOLIGICAL UNIVERSITY OF THE PHILIPPINES _c2023 |
||
| 300 |
_axi, 106 pages: _c29 cm |
||
| 336 | _2rdacontent | ||
| 337 | _2rdamedia | ||
| 338 | _2rdacarrier | ||
| 500 | _aBachelor's Thesis | ||
| 502 |
_aCollege of Industrial Technology.-- _bBachelor of Engineering Technology major in Electronic Technology: _cTechnological University of the Philippines, _d2023 |
||
| 504 | _aIncludes bibliographic references and index. | ||
| 520 | _aToilet cleanliness is critical for all humans. All germs and bacteria begin their attacks on the human body here. That is why toilets must be sanitized daily. Foul odors in a restroom are caused by a lack of cleaning, an unflushed toilet, and a lack of water, while an adequately cleaned restroom will have no odor issues. Currently, available technologies and methods can produce exact measurements and effective maintenance and monitoring. However, these are hand-controlled, expensive to operate, and difficult to monitor due to insufficient alerting options. As a result, the researchers proposed a restroom maintenance system that can monitor, notify restroom cleaners, and maintain cleanliness that is IoT- based with data analytics from the data obtained from air quality sensors and ultrasonic water level sensors by NodeMCU Wi-Fi Module ESP8266. The system was then assessed in terms of the indoor air quality of the restroom based on the set time of day by the researchers. Results show a significant difference in the air quality that can be detected depending on the time of day, according to the testing results for the hypothesis-way one- way ANOVA F (5,66) = 164.653, p=.000, and a sample size of n=72. This means that the system can detect higher concentrations of pollutants in the air, resulting in a foul odor in the restroom, particularly at 1PM as compared to the other time of the day. The system was evaluated using the ISO 25010 system and software quality models, and responses from maintenance staff, university professors, and students yielded an overall mean of 4.8, which is interpreted as excellent. This project contributes to the United Nations' Sustainable Development Goals (SDGs) to ensure sustainable consumption and production patterns (SDG 12), as well as the objective to ensure water availability and sustainable management for all (SDG 6). | ||
| 650 | _aElectrical Technology | ||
| 650 | _aBacteria | ||
| 650 | _aRestroom Maintenance | ||
| 650 | _aAir quality | ||
| 700 |
_aHornilla, Mary Rose R. _eAuthor |
||
| 700 | _aMateo, Rosario C. | ||
| 700 |
_aNafarrete, Remiel D. _eAuthor |
||
| 700 |
_aReglos, Mitchelle C. _eAuthor |
||
| 942 |
_2lcc _cBTH CIT _n0 |
||
| 999 |
_c31350 _d31350 |
||